Autoren:	Wiltink, Jörg Hoyer, Jürgen Beutel, Manfred E. Ruckes, Christian Herpertz, Stephan Joraschky, Peter Koranyi, Susan Michal, Matthias Nolting, Björn Pöhlmann, Karin Salzer, Simone Strauss, Bernhard Leibing, Eric Leichsenring, Falk
Titel:	Do patient characteristics predict outcome of psychodynamic psychotheraphie for social anxiety disorder?
Online-Publikationsdatum:	11-Jul-2022
Erscheinungsdatum:	2016
Sprache des Dokuments:	Englisch
Zusammenfassung/Abstract:	Objectives Little is known about patient characteristics as predictors for outcome in manualized short term psychodynamic psychotherapy (PDT). No study has addressed which patient variables predict outcome of PDT for social anxiety disorder. Research Design and Methods In the largest multicenter trial on psychotherapy of social anxiety (SA) to date comparing cognitive therapy, PDT and wait list condition N = 230 patients were assigned to receive PDT, of which N = 166 completed treatment. Treatment outcome was assessed based on diverse parameters such as endstate functioning, remission, response, and drop-out. The relationship between patient characteristics (demographic variables, mental co-morbidity, personality, interpersonal problems) and outcome was analysed using logistic and linear regressions. Results Pre-treatment SA predicted up to 39 percent of variance of outcome. Only few additional baseline characteristics predicted better treatment outcome (namely, lower comorbidity and interpersonal problems) with a limited proportion of incremental variance (5.5 to 10 percent), while, e.g., shame, self-esteem or harm avoidance did not. Conclusions We argue that the central importance of pre-treatment symptom severity for predicting outcomes should advocate alternative treatment strategies (e.g. longer treatments, combination of psychotherapy and medication) in those who are most disturbed. Given the relatively small amount of variance explained by the other patient characteristics, process variables and patient-therapist interaction should additionally be taken into account in future research.
DDC-Sachgruppe:	610 Medizin 610 Medical sciences
Veröffentlichende Institution:	Johannes Gutenberg-Universität Mainz
Organisationseinheit:	FB 04 Medizin
Veröffentlichungsort:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-7351
Version:	Published version
Publikationstyp:	Zeitschriftenaufsatz
Nutzungsrechte:	CC BY
Informationen zu den Nutzungsrechten:	https://creativecommons.org/licenses/by/4.0/
Zeitschrift:	PLoS one 11 1
Seitenzahl oder Artikelnummer:	e0147165
Verlag:	PLoS
Verlagsort:	Lawrence, Kan.
Erscheinungsdatum:	2016
ISSN:	1932-6203
URL der Originalveröffentlichung:	http://dx.doi.org/10.1371/journal.pone.0147165
DOI der Originalveröffentlichung:	10.1371/journal.pone.0147165
Enthalten in den Sammlungen:	DFG-OA-Publizieren (2012 - 2017)